BMNet+

Reported on 6 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Object CountingonFSC147
MAE(test)· 2022-03-16
14.62
best: 5.74 (CountGD)
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting arXiv:2203.08354
Object CountingonFSC147
MAE(val)· 2022-03-16
15.74
best: 7.1 (CountGD)
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting arXiv:2203.08354
Object CountingonFSC147
RMSE(test)· 2022-03-16
91.83
best: 24.09 (CountGD)
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting arXiv:2203.08354
Object CountingonFSC147
RMSE(val)· 2022-03-16
58.53
best: 26.08 (CountGD)
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting arXiv:2203.08354
Object CountingonCARPK
MAE· 2022-03-16
5.76
best: 2.12 (HLCNN)
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting arXiv:2203.08354
Object CountingonCARPK
RMSE· 2022-03-16
7.83
best: 3.02 (HLCNN)
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting arXiv:2203.08354